基于数字孪生的智慧油气站场设计与开发

Design and development of intelligent oil and gas stations based on digital twin

随着中国油气站场建设规模不断扩大,生产运行及安全管理的要求日益严苛,但目前管道及站场实体可视化应用及综合展示非常匮乏,无法以三维场景查看站场内各区域分布及运行数据,尚未建立与实际情况高度一致的设施设备模型。为此,提出了基于数字孪生的智慧油气站场系统化解决方案:在数字孪生理论的基础上,以ArcGIS系统为基础平台,运用3Ds Max软件建立等比例、高精度的站场模型,搭建真实映射物理站场的数字孪生站场,辅以先进传感、大数据分析及人机交互技术,形成智慧化的输油气站场信息物理系统。以陕西某压气站为例进行了系统设计与开发示范,结果表明:该系统能够实现站场全要素的三维展示、站场状态的实时监测、站场管理的统筹决策,有利于全方位提升站场安全生产的宏观监管、重点监管、精准监管水平。

With the continuous expansion of oil and gas stations in construction scale in China,the requirements for safe production,operation and management are becoming more and more stringent.However,the visualization application and comprehensive display of current pipelines and station entities are very scarce,and it is impossible to view the regional distribution and operation data of such stations in a three-dimensional scene.In addition,facility and equipment models highly consistent with the actual situations have not yet been established.In response to those problems,a systematic solution of intelligent oil and gas stations based on digital twin was proposed.Specifically,according to the digital twin theory,an equal-scale high-precision station model was established on the basic platform,i.e.ArcGIS system,by the 3Ds Max software to build a digital twin-based station that could truly map the physical station.Based on that,an intelligent cyber-physical system of oil and gas stations was created with the help of advanced sensing,big data analysis and humancomputer interaction technology.As a demonstration,the system design and development was applied to a compressor station in Shaanxi,proving that the system could realize the three-dimensionality display of all elements in the station,the real-time monitoring of station status,and the overall decision-making on station management.Hence,it is helpful to comprehensively improve the level of macro supervision,major supervision and precise supervision of stations for safe production.